Nex AGI: Nex-N2.6 vs OpenAI: GPT-6 Luna Pro (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.
| Nex AGI: Nex-N2.6 | OpenAI: GPT-6 Luna Pro (batch) | |
|---|---|---|
| Vendor | nex-agi | openai |
| Quality Score | 100 | 100 |
| Input Price | $0.12/M | $0.05/M |
| Output Price | $0.40/M | $0.25/M |
| Context Window | 262,144 | 1,050,000 |
| Max Output | 235,929 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna Pro (batch) costs $0.11 and Nex-N2.6 costs $0.22, so GPT-6 Luna Pro (batch) is about 2.0 times cheaper for the same work.
GPT-6 Luna Pro (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Nex-N2.6.
Across the 15 tasks where they differ, GPT-6 Luna Pro (batch) on 15 (SQL Generation, Code Review, Code Completion and others).
Nex-N2.6 was released in November 2026 and GPT-6 Luna Pro (batch) in September 2026.
Pick GPT-6 Luna Pro (batch) if you need lower cost, long documents or the stronger all-round task scores.
Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.
Who wins by task?
| Task | Nex AGI: Nex-N2.6 | OpenAI: GPT-6 Luna Pro (batch) |
|---|---|---|
| SQL Generation | 131 | 134 |
| Code Review | 126 | 132 |
| Code Completion | 129 | 131 |
| Code Refactoring | 127 | 136 |
| Bug Fixing | 130 | 136 |
| Unit Test Generation | 121 | 124 |
| Code Documentation | 126 | 131 |
| CI/CD Pipelines | 117 | 120 |
| CSV / Spreadsheet Cleanup | 128 | 134 |
| ETL Scripting | 122 | 128 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 128 | 131 |
| Table Extraction from PDFs | 128 | 131 |
| Long-Document Summarization | 129 | 138 |
| Blog Post Writing | 119 | 122 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →